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"probability" po angielsku z przykładami - Słownik kolokacji angielskich

probability rzeczownik

rzeczownik + probability
Kolokacji: 8
percent probability • error probability • probability of success • transition probability • probability of an outcome • ...
probability + rzeczownik
Kolokacji: 23
probability distribution • probability theory • probability density • probability measure • probability density function • ...
probability + czasownik
Kolokacji: 8
probability increases • probability depends • probability approaches • probability decreases • probability rises • ...
czasownik + probability
Kolokacji: 9
increase the probability • assign probabilities • calculate the probability • use probability • reduce the probability • ...
przymiotnik + probability
Kolokacji: 35
high probability • low probability • statistical probability • equal probability • conditional probability • ...
częste kolokacje
Kolokacji: 3
kolokacje pogrupowane znaczeniowo
Grup znaczeniowych: 12
(1) high, low, reasonable, small, subjective, ...
Kolokacji: 6
(2) statistical, Bayesian
Kolokacji: 2
(3) equal, different, uniform
Kolokacji: 3
(4) conditional, non-zero, actual, cumulative
Kolokacji: 4
(5) great, substantial, significant
Kolokacji: 3
(6) strong, overwhelming
Kolokacji: 2
(7) mathematical, exact, inverse
Kolokacji: 3
(8) prior, posterior
Kolokacji: 2
(9) relative, certain, finite, proportional
Kolokacji: 4
(10) total, overall
Kolokacji: 2
(11) joint, individual
Kolokacji: 2
1. joint probability = wspólne prawdopodobieństwo joint probability
2. individual probability = indywidualne prawdopodobieństwo individual probability
  • There are other ways of combining individual probabilities for different words than using the "naive" approach.
  • These different hypotheses result in radically different formulas for combining the individual probabilities.
  • For example, assuming the individual probabilities follow a chi-squared distribution with 2N degrees of freedom, one could use the formula:
  • Now, let's calculate the individual probability of a 2-2 split when missing four cards (the following row in the table).
  • For this kind of judgment, anchoring on the individual probabilities results in an overestimate of the combined probability.
  • It is these individual probabilities that make the aggregate certainty.
  • In the second stage, the researcher corrects for self-selection by incorporating a transformation of these predicted individual probabilities as an additional explanatory variable.
  • Formalising this insight required transformations to be applied to the cumulative probability distribution function, rather than to individual probabilities (Quiggin, 1982, 1993).
  • If the distribution is discrete, the individual probabilities of all possible values of are computed, and then summed to find the normalization constant.
  • P(A) is equal to the product of these individual probabilities:
(12) marginal, negligible
Kolokacji: 2
przyimek + probability
Kolokacji: 5
of probability • with probability • in all probability • to the probability • on the probability

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